EP3047413B1 - Unité de gestion de données et son procédé de fonctionnement - Google Patents

Unité de gestion de données et son procédé de fonctionnement Download PDF

Info

Publication number
EP3047413B1
EP3047413B1 EP14771567.6A EP14771567A EP3047413B1 EP 3047413 B1 EP3047413 B1 EP 3047413B1 EP 14771567 A EP14771567 A EP 14771567A EP 3047413 B1 EP3047413 B1 EP 3047413B1
Authority
EP
European Patent Office
Prior art keywords
measurement value
tag
meal
new measurement
event
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Active
Application number
EP14771567.6A
Other languages
German (de)
English (en)
Other versions
EP3047413C0 (fr
EP3047413A1 (fr
Inventor
Andrew Tubb
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Sanofi Aventis Deutschland GmbH
Original Assignee
Sanofi Aventis Deutschland GmbH
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Sanofi Aventis Deutschland GmbH filed Critical Sanofi Aventis Deutschland GmbH
Priority to EP14771567.6A priority Critical patent/EP3047413B1/fr
Publication of EP3047413A1 publication Critical patent/EP3047413A1/fr
Application granted granted Critical
Publication of EP3047413C0 publication Critical patent/EP3047413C0/fr
Publication of EP3047413B1 publication Critical patent/EP3047413B1/fr
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H40/00—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices
    • G16H40/60—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices
    • G16H40/63—ICT specially adapted for the management or administration of healthcare resources or facilities; ICT specially adapted for the management or operation of medical equipment or devices for the operation of medical equipment or devices for local operation
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/145—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue
    • A61B5/14532—Measuring characteristics of blood in vivo, e.g. gas concentration, pH value; Measuring characteristics of body fluids or tissues, e.g. interstitial fluid, cerebral tissue for measuring glucose, e.g. by tissue impedance measurement
    • A—HUMAN NECESSITIES
    • A61—MEDICAL OR VETERINARY SCIENCE; HYGIENE
    • A61B—DIAGNOSIS; SURGERY; IDENTIFICATION
    • A61B5/00—Measuring for diagnostic purposes; Identification of persons
    • A61B5/72—Signal processing specially adapted for physiological signals or for diagnostic purposes
    • A61B5/7221—Determining signal validity, reliability or quality
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H10/00—ICT specially adapted for the handling or processing of patient-related medical or healthcare data
    • G16H10/60—ICT specially adapted for the handling or processing of patient-related medical or healthcare data for patient-specific data, e.g. for electronic patient records
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H20/00—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance
    • G16H20/10—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients
    • G16H20/17—ICT specially adapted for therapies or health-improving plans, e.g. for handling prescriptions, for steering therapy or for monitoring patient compliance relating to drugs or medications, e.g. for ensuring correct administration to patients delivered via infusion or injection
    • G—PHYSICS
    • G16—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR SPECIFIC APPLICATION FIELDS
    • G16H—HEALTHCARE INFORMATICS, i.e. INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR THE HANDLING OR PROCESSING OF MEDICAL OR HEALTHCARE DATA
    • G16H50/00—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics
    • G16H50/20—ICT specially adapted for medical diagnosis, medical simulation or medical data mining; ICT specially adapted for detecting, monitoring or modelling epidemics or pandemics for computer-aided diagnosis, e.g. based on medical expert systems

Definitions

  • the present invention relates to a data management unit of a glucose meter, a method for operating a data management unit of a glucose meter, and a respective computer program.
  • the following description of the invention mainly refers to diabetes as a health problem and the blood glucose level as the physiological parameter to be controlled in order to assess the effectiveness of the prescribed treatment.
  • other possible implemetations may also be used with regard to other health problems and for management of other physiological parameter data like (a) blood pressure in hypertensive heart disease, (b) cholesterol or lipoprotein profile in patients with risk factors for heart disease and stroke, (c) peak flow in asthmatic patients, or (d) coagulation in patients treated for hemophilia.
  • Diabetes mellitus is a group of metabolic diseases in which a person has high blood sugar, either because the pancreas does not produce enough insulin, or because cells do not respond to the insulin that is produced.
  • the treatment of diabetes concentrates on keeping blood sugar levels as close to normal (“euglycemia") as possible, without causing hypoglycemia. This can usually be accomplished with diet, exercise, and use of appropriate medications (insulin in the case of type 1 diabetes; oral medications, as well as possibly insulin, in type 2 diabetes).
  • Essential elements of the management of diabetes with insulin are periodic checks of the glucose concentration in the blood performed by the patients themselves, in order to obtain regular information on the progress and success of the prescribed treatment. This understanding, and patient participation is vital, since the complications of diabetes are far less common and less severe in patients who have well-managed blood sugar levels. With regard to this it has to be considered that the blood glucose level fluctuates throughout the day and is directly influenced by the amount of insulin administered, as well as lifestyle factors such as the amount and kind of food that is consumed, the exercise level and stress.
  • the monitoring of the sugar level in the blood with a data management unit serves a dual purpose: on the one hand it provides the patient with information about the current status of glycemic control. On the other hand can the measured values serve as information for the patient or a healthcare professional (HCP) to determine whether an adjustment in the medication, namely the amount of insulin to be taken, is indicated.
  • HCP healthcare professional
  • BGM blood glucose measurement
  • FBG fasting blood glucose measurement value
  • a fasting blood glucose measurement value is derived after several hours without eating (6 to 8 hours).
  • the fasting blood glucose measurement value is typically taken in the morning before breakfast and is the most commonly performed test among insulin treated patients as it is used to assess the quality of the titration of long-acting basal insulin or analogs such as insulin glargine.
  • the administered doses and / or the ingested carbohydrates may be recorded. Therefore, typically a portable monitor is used which may be able to measure the blood glucose level as well or which receives the measurement values from a blood glucose measurement device. A wireless or wired data transfer can be used to transport the results from the measurement device to the data management unit.
  • the administered doses or other data may be provided by the user input, for example using a keyboard.
  • Document EP 2 085 029 A1 refers to a method of operating an analyte measurement device having a display, user interface, processor, memory and user interface buttons. After measuring an analyte with the analyte measurement device the measurement value is displayed and the user is prompted to select a flag to associate the flag with the value. By pressing only one of the user interface buttons once the flag with the value of the device is stored. In particular, the user is prompted whenever a measuring step indicates that an analyte value is outside a predetermined range.
  • Document US 7,570,980 B2 discloses blood glucose measurement data stored in an array comprising associated time code information for each measurement and various other flags. These flags may correspond to specific time frames, date information, calibration check information etc. From the measured and flagged values the so called effective meal average value is calculated encompassing the measurement values that occur at specific times, for example one hour before and one hour after a specified meal time.
  • flags or tags are effective means in order to make the life of a diabetes patient easier they are nowadays widely used for data management.
  • providing one measurement value with an associated tag or flag information is sometimes difficult for the patient.
  • it is important to make sure that the correct tag information is stored with the associated measurement value because if the information is confused the additional information which is provided with the tag to the measurement value is worthless.
  • Document WO 2011/007051 A1 discloses a method for controlling the measurement process of the blood glucose of a patient. Therein measurements are linked to events (such as meals) as pair measurements (pre-measurements and post-measurements) either fully automatically by pre-determined or adaptive time windows or fully manually by user assignment.
  • the automatic assignment may be defective and does not allow overlapping of time windows.
  • the manual assignment may also be defective and time consuming for the user as there are a high number of alternatives.
  • the computer-implemented diabetes management system described in US 2012/0266251 A1 allows the user to enter information pertaining to events (e.g. meals, exercise, periods of stress, etc.) by a menu selection that may affect the user's blood glucose measurement being read by the device.
  • events e.g. meals, exercise, periods of stress, etc.
  • acceptance time windows of varying lengths are defined during which blood glucose test values must be entered by the user for the blood glucose values to be included in a three day blood glucose test profile.
  • the acceptance time windows are defined in different way, for example the preprandial acceptance time windows within two hours of the user typical breakfast, lunch and dinner meal times or the bedtime.
  • the postprandial acceptance time windows may be set to begin ninety minutes after each of the actual breakfast, lunch and dinner times.
  • a blood glucose test value fully automatically qualifies for inclusion in the three day test profile if only a single acceptance time window is open at this time and the acceptance window is one relating to a preprandial, postprandial, or bedtime acceptance time window.
  • the processing subsystem provides a query on the display asking the user to specify the label for the blood glucose value.
  • the user manually selects the associated acceptance time window by touching the appropriate selection on the display.
  • US 2012/0266251 A1 relates to systems and methods for disease management.
  • a blood glucose analyzer reads the test strip and provides a blood glucose test value and an associated time stamp to a processing subsystem that identifies when the blood glucose test value was obtained. If only a single acceptance time window is open at this time, and the acceptance window is one relating to a preprandial, postprandial, or bedtime acceptance time window, then the blood glucose test value qualifies for inclusion in a three day blood glucose profile test and may be automatically stored in a database. If more than one acceptance time window is open at this time, the processing subsystem provides a query on a display asking the user to specify the label for the blood glucose value.
  • the object of the present invention is to provide an alternative solution for semiautomatic tagging with flexibility to ongoing lifestyle fluctuations that requires less insight of the user..
  • each of the associated time ranges for the at least two meal events is user-settable.
  • a fasting event there is also for a fasting event an associated time range for tagging preselection, this time range being preferably user-settable.
  • the time stamp associated to each measurement value comprises date and time information of a certain time point during the measurement process resulting in the respective measurement value, for example the completion of the measurement process or receipt of the new measurement value by the data management unit.
  • the time stamp is associated by the measurement unit and is transferred to the data management unit with the respective measurement value.
  • the time stamp is assigned by the processor after receipt of the measurement value.
  • time ranges for tagging preselection may be defined:
  • At least part of the time ranges for tagging preselection may be set and changed by the user and / or HCP using for example a settings menu of the data management unit.
  • the time ranges for tagging preselection for the at least two predefined events refer to a respective time range which is used to support the user during tagging as follows. After receipt of a new measurement value of the physiological parameter and assignment of an associated time stamp, if necessary, the processor compares the time information of the associated time stamp with the time ranges for tagging preselection.
  • the processor is adapted to automatically select the tag of one of the at least two meal events (and preferably also of the fasting tag) after one of the tags "before meal” or "after meal” was manually selected (and - if applicable also confirmed) by the user.
  • the so called selection data is generated (first component of the composite tag). This means that the "before meal” or the "after meal” tag was manually chosen and/or confirmed by the user. This includes the possibility that the "before meal” or the "after meal” tag is automatically suggested by the processor to the user but has to be manually confirmed by the user. Alternatively, the user choses and (thereby or additionally) confirms the "before meal” and "after meal” tag.
  • the data storage may comprise the time ranges for tagging preselection of the meals, only, for example "breakfast", “lunch” and “dinner” or as indicated above.
  • the time ranges for tagging preselection may overlap.
  • the "fasting" time range for tagging preselection is also provided. This embodiment also supports the user during tagging and reduces the risk of erroneous tagging. Additionally, the number of time ranges for tagging preselection may be reduced so that it is less time consuming to pre-set these time ranges and to choose the correct tag.
  • the meal tag is a composite tag with a first component "before meal” or “after meal” and a second component referring to the particular meal or - if applicable - fasting.
  • the processor selects the meal component of the tag automatically, preferably without user confirmation. In the latter case only a query for user input of the corresponding selection (i.e. a user confirmation and/or selection) of the first tag component "before meal” or "after meal” is provided. It is further possible for the user to change the automatically selected tag component or to select a nil-tag.
  • the fasting tag may be chosen in the first step in which the "before meal” or "after meal” tag can be selected as an alternative to these two tags. In this case, if the user choses the "fasting" tag instead of the "after meal” tag or the "before meal” tag, there is no automatic selection of a meal tag provided by the processor afterwards.
  • the time range for tagging preselection of a certain event may be different for working days and non-working days.
  • the determination whether the associated time stamp of the new measurement value is within the time range for tagging preselection is based not only on the time information of the time stamp but also on the date information.
  • the fasting blood glucose measurement value is particularly used to assess the quality of the titration of long-acting basal insulin or analogs.
  • dose helper which gives the user a suggestion for a new basal insulin or analog dose or for a dose change, only one fasting blood glucose measurement value is considered.
  • the processor is adapted to provide a user query whether the event tag referring to the first event, e.g. the fasting event, is selected for the previous measurement value or for the new measurement value and the processor is further adapted to receive a data input by the user of a corresponding selection, i.e. a confirmation of the selection.
  • both, the previous measurement value and the new measurement value are associated to the fasting tag and during titration the user may be provided with a query as to which fasting value shall be used for the titration and preferably to confirm his / her selection by inputting the corresponding selection.
  • the processor in case no data input is received by the user (e.g. with regard to the selection whether the event tag referring to the first event to the new measurement value or to the previous measurement value is selected as the one fasting value), for example because of a time-out of the data management unit, the processor is adapted to associate the tag to the previous measurement value or to the new measurement value according to a pre-defined selection rule or the nil tag.
  • the rule defines that the tag is associated to the fasting value which falls within the time range for fasting tag preselection, and, if both values fall within this time range, the tag is associated to the one which has the younger time stamp or to the fasting value which is higher.
  • the rules may be defined with regard to the selection of one fasting value within the titration.
  • the processor is further adapted to receive a data input from the user related to the physiological parameter, wherein the data input comprises at least one of the following parameters:
  • the above mentioned data input may be facilitated after tagging or during titration.
  • a computer program according to claim 9 for operating a data management unit of a glucose meter with a data storage comprising (preferably user-settable) associated time ranges for tagging preselection for at least two meal events (and preferably also a fasting event).
  • the above computer program may be realized with the embodiments as mentioned above with regard to the above inventive method for operating a medical device.
  • Figure 1 is a schematic drawing and Figure 2 is a schematic diagram of the medical device 100 according to a preferred embodiment of the invention.
  • the medical device 100 comprises a blood glucose measurement unit 110, which is arranged to measure the blood glucose level.
  • the measurement unit 110 comprises an interface and a slot 112 for inserting a test strip.
  • the blood glucose measurement unit 110 is connected to a receiving unit 120, which is arranged to forward e.g. blood glucose measurement data received from blood glucose measurement unit 110 to a data storage 130 (storage unit or means) or memory, such as a Flash memory.
  • the receiving unit 120 may retrieve stored data such as e.g. blood glucose value data from the storage 130 and forward it to a processor 140 (processing unit or means), such as a microcontroller or microprocessor, a digital signal processor, and / or the like.
  • the receiving unit 120 directly forwards the blood glucose value data received from the blood glucose measurement unit 110 to the processor 140.
  • Receiving unit 120 is further connected to a user input unit 150 of a user interface.
  • the user input unit 150 is arranged to receive input from the user of the medical device 100 for example by key 151, confirmation key (OK button) 152, key 153 for scrolling down (downward button) and key 154 for scrolling up (upward button).
  • the user input data are forwarded from the user November 28, 2022 S 100 WO 289 EP input unit 150 to the receiving unit 120, which either forwards it to the processor 140 or to the data storage 130.
  • the user interface of medical device 100 comprises a display unit 160 with a display 162, which is connected to the receiving unit 120 as well.
  • the display unit 160 receives data to be displayed by the display 162 from the receiving unit 120 or the processor 140.
  • the medical device 100 additionally comprises a further interface 170, for example a wired interface such as a serial port, a Universal Serial Bus (USB) interface, a mini-USB interface, or a wireless interface such as an infrared (e.g. an IRDA) interface, a Bluetooth TM interface, and / or the like, in order to receive data and / or to transmit data.
  • the interface 170 is preferably connected to the receiving unit 120 in order to receive data from the receiving unit 120 and / or to forward data to the receiving unit 120.
  • the medical device 100 may comprise a clock unit 180 which provides a date and time information, preferably based on a clock generator, which may be displayed at the display 162. Further, the clock unit 180 provides date and time information in particular for generating a time stamp for an associated blood glucose measurement.
  • a clock unit 180 which provides a date and time information, preferably based on a clock generator, which may be displayed at the display 162. Further, the clock unit 180 provides date and time information in particular for generating a time stamp for an associated blood glucose measurement.
  • the medical device 100 preferably comprises a blood glucose measurement unit 110.
  • the blood glucose measurement unit 110 is arranged to measure the blood glucose level in the blood of e.g. the user by testing a drop of blood on a test strip that is inserted into the slot 112. The measurement may be conducted using e.g. an electrochemical method. Full insertion of the test strip in the slot 112 may be detected by a respective sensor. The measured blood glucose value is transformed to blood glucose value data and forwarded preferably immediately or on demand to the receiving unit 120.
  • the blood glucose measurement unit 110 is arranged to measure the blood glucose level of the user via infrared diagnosis or an alternative contactless measurement method.
  • the blood glucose measurement unit 110 is implanted in the body of the user of the medical device and forwards the data to the receiving unit 120 either via a wired connection or via a wireless connection.
  • an implanted blood glucose measurement unit 110 is a continuous measurement sensor e.g. based on a chip which may allow a continuous closed loop control.
  • the medical device comprises two parts, one part contains the measurement unit 110 and the other part the remaining units of the medical device.
  • the blood glucose measurement unit 110 preferably forwards the blood glucose measurement value data to the receiving unit 120 via interface 170.
  • the medical device does not comprise a blood glucose measurement unit which measures the blood glucose values, but receives blood glucose value data from an external unit.
  • the measurement of the blood glucose measurement is preferably triggered by the receiving unit 120 which sends a respective signal to the blood glucose measurement unit 110.
  • the receiving unit 120 receives a trigger signal generated by user input which is received via user input unit 150 or based on a signal from the slot 112 detecting a test strip.
  • the trigger signal is generated automatically by the clock unit 180 or by the processor 140.
  • the receiving unit 120 is represented e.g. by the input ports and output ports of a microprocessor or a bus system managing the data handling between several functional units.
  • bus systems such as e.g. Advanced Microprocessor Bus Architecture bus systems implemented in a microprocessor or external bus systems connected to a microprocessor.
  • control signals such as trigger signals or control signals e.g. to the blood glucose measurement unit 110, the display unit 160 or the interface 170.
  • the data storage 130 is arranged to store data entered via the user input unit 150, a plurality of blood glucose measurement data received from the blood glucose measurement unit 110 together with the time stamp and / or at least one event tag associated to each measurement data, data calculated from the plurality of blood glucose measurement values processed by the processor 140 and / or data received via interface 170.
  • the data storage 130 stores parameter data like an associated time range for tagging preselection regarding for example a fasting tag.
  • a time range is defined using a center time and a duration, wherein the time range comprises the time around the center time with the size of 1/2 duration in both directions.
  • the time range for fasting tag preselection is defined with a duration of 2 hours and a center time at 7 a.m., so that the time range for fasting tagging preselection encompasses the time between 6 a.m. and 8 a.m.
  • the data storage 130 stores the following preset time ranges for pre- and post-meal times for tagging preselection:
  • Mealtime and fasting time ranges may be settable by the user "Settings" mode of the medical device.
  • the above meal tags are composite tags with the first component “pre-meal” or “post-meal” and the second component regarding the meal type, namely "breakfast", “lunch” or "supper".
  • the data storage 130 stores the following user-settable time ranges for tagging preselection with regard to meal times:
  • data storage 130 is arranged to provide the stored data to the processor 140, to the display unit 160 and / or to the interface 170.
  • the data storage 130 is preferably implemented as a semiconductor memory such as a Flash memory. Alternatively, it is implemented as a hard disk memory or an on-chip memory of the processor 140.
  • the processor 140 is preferably a microprocessor or any other functional unit capable of processing data.
  • the user input unit 150 is preferably implemented as a keyboard comprising one or more push buttons 151, 152, 153, 154.
  • the keyboard may comprise one or more soft keys, wherein the function of the soft keys may be displayed on the display 162.
  • the user input unit 150 is a key board or a touch screen.
  • the user input unit 150 comprises a microphone for receiving speech input so that data can be entered via speech input.
  • a tag may be automatically associated to the measurement value referring to lifestyle data as explained below in detail.
  • the automatically selected tag may be changed by pressing the up or down keys 153, 154 scrolling upwards or downwards through the different tags which are for example the fasting tag, pre-meal tag, post-meal tag and no-tag, respectively, referring to a measurement value which is a fasting blood glucose value, a pre-meal blood glucose value, a post-meal blood glucose value and a blood glucose value that cannot be associated to one of the previous lifestyle parameter.
  • the display unit 160 preferably comprises an LCD or LED display 162.
  • the display displays a number of alphanumerical characters so that e.g. the presently measured blood glucose value can be displayed together with additional instructions for the user.
  • the display unit 160 comprises a graphic display in order to display graphs or graphics such as icons. Further the display of the display unit 160 may comprise a touchscreen.
  • the interface 170 is preferably a wireless interface, such as IRDA, Bluetooth TM , GSM, UMTS, ZigBee, or WI-FI, etc.
  • the interface is a wired interface, such as a USB port, mini-USB port, serial data port, parallel data port, etc., for receiving and transmitting data.
  • the medical device 100 does not comprise an interface 170.
  • medical device 100 comprises a memory card reader or a memory card reader interface.
  • the memory card reader is preferably adapted to read information from a memory card, such as a Flash memory card, or any type of SIM card.
  • the memory card comprises a memory, wherein at least one of a selected algorithms together with corresponding parameters, a history of the blood glucose values and / or insulin doses administered, etc. is stored.
  • the relevant data may still be stored on the memory card which can be easily removed from the memory card reader of the medical device 100 and transferred to a new medical device 100.
  • the memory card 100 may be used in order to provide information on the history of the treatment to e.g. an HCP.
  • the memory card is a SIM card providing subscriber identification for a mobile communication network and the interface unit 170 is additionally a mobile communication interface
  • additional functions of the medical device 100 can be unlocked by the provider of the SIM card via a telecommunication channel.
  • This offers the possibility that the medical device 100 can communicate with other telecommunication devices via predefined channels, such as UMTS or GSM.
  • IMSI international mobile subscriber identity
  • the medical device 100 identifies itself within the network and, thus, can be addressed via the network.
  • the medical device 100 can be easily checked, remote controlled, updated, monitored, etc., via interface unit 170, e.g. by addressing the mobile communication unit with a phone number.
  • the medical device 100 is able to transmit data via SMS, e-mail or via mobile internet connection. Moreover, this offers the possibility to locate the medical device 100 in an emergency case.
  • the blood glucose measurement unit 110 is a sensor which is e.g. implanted a dose delivery unit with an insulin pump forming an automatic delivery system may be additionally provided.
  • the medical device 100 is capable to perform a number of process steps. According to one embodiment after switching on, e.g. by pressing a key 151, 152, 153 or 154, preferably the confirmation key 152 for a predetermined time, or detection of a test strip within the slot 112, the medical device 100 performs initialization step 310 for initializing the functional components of the medical device 100. After this, the different operation modes which are implemented in the medical device 100, are displayed in the display step 320, preferably operation modes such as "Measure BG", “Logbook”, “Settings" and / or "Titration".
  • step 330 the user selects one of the displayed operation modes via the user input unit 150, for example by means of the keys 153, 154 for scrolling down or up, and confirms the selection using the confirmation key 152.
  • step 340 the selected operation mode is executed.
  • the mode "Measure BG" is selected for executing a blood glucose measurement.
  • the user 1 patient is requested to provide a test strip with a blood sample.
  • the “Logbook” mode the history of previous measurements and statistical results may be calculated and displayed.
  • the “Settings” mode allows the user to define and change some parameters of the medical device 100, e.g. time ranges for tagging preselection for a number of pre-set events.
  • a dose suggestion may be provided by the medical device 10 for basal insulin or analogue.
  • step 350 a drop of blood is applied to the test portion of the test strip which is inserted in slot 112 of the medical device 100.
  • steps 310 to 340 may be skipped in the case that a specific operation mode is preselected.
  • the preselected operation mode which is either preselected by the user or automatically selected in accordance with a specific event, for example the detection of a fully inserted test strip in slot 112
  • the operating process proceeds with the following step 350 and asks the user to apply a drop of blood.
  • step 360 it executes the preselected one or more operation modes, for example the mode "Measure BG".
  • step 360 the measurement unit 110 determines e. g. by an electrochemical or an optical method the blood glucose level and displays the respective new measurement value at the display 162.
  • the clock unit 180 In the next step 370 the clock unit 180 generates a time stamp of the present measurement comprising a date and time information.
  • the time stamp is also displayed in display 162 and both, the present blood glucose measurement value and the associated time stamp is transferred by receiving unit 120 to the data storage 130.
  • the user manually selects one of the event tag components "pre-meal" ("before meal") and "post-meal” ("after meal”) represented by a full apple as shown in Figure 4b ) in case of the "pre-meal" ("before meal") tag component and represented by a bitten apple as shown in Figure 4c ) in case of the "post-meal” ("after meal”) tag component and confirms the tag.
  • the processor 140 may provide a suggestion with regard to the "pre-meal” ("before meal”) or "post-meal” ("after meal”) tag component which is to be manually confirmed by the user.
  • the processor 140 automatically selects the associated meal according to the above time range for meal times according to the time information of the time stamp, without further user confirmation.
  • the processor selects "breakfast” if the time information of the present time stamp is 10:45 a.m. and the user has confirmed the "post-meal" ("after meal") tag component or it selects “lunch” if the user has confirmed the "pre-meal" ("after meal”) tag component.
  • the tag comprises the information "pre-meal” ("before meal”) or "post-meal” ("after meal”) and "breakfast” or "lunch” and forms a respective composite tag which is then stored in the data storage 130 initiated by the processor 140 via the receiving unit 120.
  • the tag sign 168 displayed on display 162 is blinking / flashing.
  • the user may confirm the fasting tag for example by pressing the confirmation key 152.
  • the user may change the tag using the up and down keys 153, 154 into the "pre-meal" ("before meal") tag component, the "post-meal” ("after meal”) tag component or the no-tag (nil).
  • the user confirms the tag (component) by pressing the confirmation key 152.
  • the flashing of the displayed tag sign is stopped and the tag sign is displayed continuously without blinking. In this state, pressing the up / down keys 153, 154 will not change the tag (component).
  • step 380 the processor 140 cannot find any range for tagging pre-selection which refers to the time information of the time stamp of the present measurement value, the no-tag may be automatically selected.
  • the user is allowed to change the tag in the above explained manner but only within a predefined time range from the associated time stamp of the blood glucose measurement value, for example within 10 days.
  • the time stamp of the recent measurement value falls within the current time range for fasting tagging pre-selection and there is already a measurement value of that day marked as fasting the user is asked which measurement value shall be associated to the fasting tag. After selection of one of the measurement values as the fasting value the selection is confirmed by the user.
  • the fasting tag has priority over the pre-meal breakfast tag.
  • the fasting tag is automatically selected if the time stamp of the present measurement value lies within the time range for the fasting tag and the time range for pre-meal breakfast.
  • a flashing tag may not only be confirmed by the user by pressing the confirmation key 152 but also by removal of the strip from the port 112 after a blood glucose test, or when the medical device goes into sleep mode.
  • a comment to the present measurement value may be selected by the user using the up and down keys 153, 154.
  • the comment may then be confirmed with the confirmation key 152, wherein the chosen comment is then stored in the data storage 130 associated to the present measurement value as well.
  • the user may be asked in step 390 whether there are hypoglycemic events (hypos) are occurred and, if yes, which number, and / or whether there are hyperglycemic events (hypers) are occurred and, if yes, which number, since last measurement or last use of the medical device 100.
  • the user has to provide the information about the size of the injected medicament dose after a predetermined point in time, e.g. last use of the medical device or the time stamp of the last (previous) measurement value, wherein preferably the injected medicament dose is automatically selected as the dose of the last (previous) suggested dose by a titration method.
  • the device may turn into the sleep state automatically after for example 120 seconds without any new action. Once the device has returned a new measurement value, the device turns to the sleep state automatically after for example 60 seconds without any user interaction.
  • the medical device 100 provides at least one memory review mode which is called “Logbook” mode.
  • the respective display and calculations are explained in the following.
  • the "Logbook" mode is entered when the user activates the medical device 100 by pressing e.g. the confirmation button 152. Then a display as depicted in Fig. 3 is shown.
  • the measurement values are preferably displayed in the order in which the entries are entered into the device, or alternatively according to the time and date assigned to the measurement values. In particular the most recent blood glucose measurement value is shown upon entry into the "Logbook” mode. Pressing the up and down keys 153, 154 the user may scroll through the records, for example by pressing the down key 153 the user may scroll backwards in time and by pressing the up key 154 the user scrolls forward in time.
  • FIG. 3 One Example of a display 162 showing a measurement value is depicted in Fig. 3 .
  • the user knows from the "Book” sign 165 in the lower left corner of the display that he / she has entered the "Logbook” mode.
  • the display 162 in the "Logbook" mode further shows the blood glucose measurement value 166 as biggest number in the center of the screen.
  • the associated time stamp 167 including date and time is displayed.
  • the associated tag as a sign 168 is provided, wherein the sign may show for example an empty, struck out apple as shown in Fig. 3 in case of an associated fasting tag, a full apple as shown in Figure 4b ) in case of an associated pre-meal tag, a bitten apple as shown in Figure 4c ) in case of an associated post-meal tag or a struck out circle as shown in Figure 4a ) in case of an associated no-tag.
  • the measurement unit 169 for the blood glucose value is provided in the lower right corner of the display 162 .
  • the user is provided with a dose suggestion preferably for basal insulin or analog if some of predefined conditions are fulfilled.
  • the method used in this mode is based on at least the most recent fasting glucose value and other information like number of hypers and hypos and / or previous doses.
  • the user is asked, in case there are two fasting measurement values within one single day tagged with the fasting tag, which fasting blood glucose measurement value has to be used for the titration algorithm.
  • Dose Helper determines whether the actual dose must be changed and provides the user with a proposal of a dose change or of a new dose, if applicable.
  • device 100 may be realized as a two-part device, wherein the data storage 130, the receiving unit 120, the processor 140, the user input unit 150, the display unit 160 with the trend indicator 164, the interface unit 170, and the clock unit 180 are realized in a device like a smartphone or another computer separate from the measurement unit 110.
  • the inventive method runs as a software program (application or "app") on the hardware of the device.
  • the keys 151, 152, 153 and 154 are realized in this case as button fields on the display of a touchscreen.

Landscapes

  • Health & Medical Sciences (AREA)
  • Engineering & Computer Science (AREA)
  • Medical Informatics (AREA)
  • Public Health (AREA)
  • Biomedical Technology (AREA)
  • General Health & Medical Sciences (AREA)
  • Primary Health Care (AREA)
  • Epidemiology (AREA)
  • Life Sciences & Earth Sciences (AREA)
  • Pathology (AREA)
  • Physics & Mathematics (AREA)
  • Animal Behavior & Ethology (AREA)
  • Biophysics (AREA)
  • Molecular Biology (AREA)
  • Surgery (AREA)
  • Heart & Thoracic Surgery (AREA)
  • Veterinary Medicine (AREA)
  • Data Mining & Analysis (AREA)
  • General Business, Economics & Management (AREA)
  • Business, Economics & Management (AREA)
  • Databases & Information Systems (AREA)
  • Psychiatry (AREA)
  • Artificial Intelligence (AREA)
  • Computer Vision & Pattern Recognition (AREA)
  • Emergency Medicine (AREA)
  • Optics & Photonics (AREA)
  • Physiology (AREA)
  • Signal Processing (AREA)
  • Chemical & Material Sciences (AREA)
  • Bioinformatics & Cheminformatics (AREA)
  • Medicinal Chemistry (AREA)
  • Measurement Of The Respiration, Hearing Ability, Form, And Blood Characteristics Of Living Organisms (AREA)
  • Investigating Or Analysing Biological Materials (AREA)
  • Infusion, Injection, And Reservoir Apparatuses (AREA)

Claims (9)

  1. Unité de gestion de données d'un glucomètre (100) comprenant
    • une mémoire de données (130) conçue pour stocker
    o une pluralité de valeurs de mesure d'un paramètre physiologique, à savoir un taux de glucose dans le sang,
    o pour chaque valeur de mesure, une étiquette d'événement associée,
    o pour chaque valeur de mesure, une estampille temporelle associée,
    o une plage temporelle associée pour une présélection d'étiquetage pour chacun d'au moins deux événements de repas,
    • un processeur (140) conçu pour
    o recevoir une nouvelle valeur de mesure en provenance d'une unité de mesure (110),
    o attribuer une estampille temporelle associée à la nouvelle valeur de mesure, si une estampille temporelle associée n'existe pas encore avec la nouvelle valeur de mesure,
    o recevoir des données de sélection contenant l'information selon laquelle l'utilisateur a, dans une première entrée, sélectionné et/ou confirmé manuellement un parmi
    o un composant d'étiquette « avant le repas » et
    o un composant d'étiquette « après le repas »
    en ce qui concerne chaque nouvelle valeur de mesure,
    o sélectionner automatiquement, sur la base des données de sélection et d'une comparaison de l'estampille temporelle de la nouvelle valeur de mesure avec les plages temporelles associées pour une présélection d'étiquetage des au moins deux événements de repas, une étiquette associée supplémentaire faisant référence à l'événement des au moins deux événements de repas, dans laquelle
    o le composant choisi parmi le composant d'étiquette « avant le repas » et le composant d'étiquette « après le repas » ne constitue qu'un premier composant d'une étiquette d'événement pour la nouvelle valeur de mesure, et
    o l'étiquette associée supplémentaire sélectionnée automatiquement constitue un second composant de l'étiquette d'événement pour la nouvelle valeur de mesure,
    de telle sorte que l'étiquette d'événement sélectionnée pour la nouvelle valeur de mesure soit une étiquette composite,
    dans laquelle les données de sélection sont utilisées pour faire la distinction entre et déterminer un de deux événements de repas associés identifiés par la comparaison avec des plages temporelles qui se chevauchent pour une présélection d'étiquetage.
  2. Unité de gestion de données selon l'une quelconque des revendications précédentes, dans laquelle dans le cas où l'étiquette d'événement faisant référence à un premier événement automatiquement sélectionnée pour la nouvelle valeur de mesure est déjà attribuée à une valeur de mesure précédente du même jour, le processeur (140) est conçu pour fournir une requête utilisateur demandant si l'étiquette d'événement faisant référence au premier événement est sélectionnée pour la valeur de mesure précédente ou pour la nouvelle valeur de mesure, et le processeur (140) est en outre conçu pour recevoir une entrée utilisateur d'une sélection correspondante.
  3. Unité de gestion de données selon la revendication 2, dans laquelle dans le cas où aucune entrée utilisateur n'est reçue, le processeur (140) est conçu pour associer l'étiquette d'événement faisant référence au premier événement à la valeur de mesure précédente ou à la nouvelle valeur de mesure selon une règle de sélection prédéfinie.
  4. Unité de gestion de données selon l'une quelconque des revendications précédentes, dans laquelle le processeur (140) est en outre conçu pour recevoir une entrée de données relative au paramètre physiologique, dans laquelle l'entrée de données comprend au moins l'un des paramètres suivants :
    • l'occurrence ou le nombre d'événements hypoglycémiques après un instant prédéterminé, par exemple, une dernière utilisation du dispositif médical ou l'estampille temporelle de la dernière (précédente) valeur de mesure,
    • l'occurrence ou le nombre d'événements hyperglycémiques après un instant prédéterminé, par exemple, la dernière utilisation du dispositif médical ou l'estampille temporelle de la dernière (précédente) valeur de mesure,
    • la taille de la dose de médicament injectée après un instant prédéterminé, par exemple, la dernière utilisation du dispositif médical ou l'estampille temporelle de la dernière (précédente) valeur de mesure, dans laquelle de préférence la dose de médicament injectée est automatiquement sélectionnée comme étant la dose de la dernière (précédente) dose suggérée.
  5. Procédé d'utilisation d'une unité de gestion de données d'un glucomètre (100) avec une mémoire de données (130) comprenant des plages temporelles associées pour une présélection d'étiquetage pour au moins deux événements de repas, dans lequel les plages temporelles associées pour une présélection d'étiquetage pour les au moins deux événements de repas se chevauchent, le procédé comprenant les étapes suivantes :
    • la réception d'une nouvelle valeur de mesure d'un paramètre physiologique, à savoir un niveau de glucose dans le sang, en provenance d'une unité de mesure (110),
    • l'attribution d'une estampille temporelle associée à la nouvelle valeur de mesure, si une estampille temporelle associée n'existe pas encore avec la nouvelle valeur de mesure,
    • la réception de données de sélection contenant l'information selon laquelle l'utilisateur a, dans une première entrée, sélectionné et/ou confirmé manuellement un parmi
    o un composant d'étiquette « avant le repas » et
    o un composant d'étiquette « après le repas »
    en ce qui concerne la nouvelle valeur de mesure,
    • la sélection automatique, sur la base des données de sélection et d'une comparaison de l'estampille temporelle de la nouvelle valeur de mesure avec les plages temporelles associées pour une présélection d'étiquetage des au moins deux événements de repas, d'une étiquette associée supplémentaire faisant référence à l'un des au moins deux événements de repas, dans lequel
    o le composant choisi parmi le composant d'étiquette « avant le repas » et le composant d'étiquette « après le repas » ne constitue qu'un premier composant d'une étiquette d'événement pour la nouvelle valeur de mesure, et
    o l'étiquette associée supplémentaire sélectionnée automatiquement constitue un second composant de l'étiquette d'événement pour la nouvelle valeur de mesure,
    de telle sorte que l'étiquette d'événement sélectionnée pour la nouvelle valeur de mesure soit une étiquette composite,
    dans lequel les données de sélection sont utilisées pour faire la distinction entre et déterminer un de deux événements de repas associés identifiés par la comparaison avec des plages temporelles qui se chevauchent pour une présélection d'étiquetage.
  6. Procédé selon la revendication 5, comprenant en outre l'étape de :
    si l'étiquette d'événement faisant référence à un premier événement automatiquement sélectionnée pour la nouvelle valeur de mesure est déjà attribuée à une valeur de mesure précédente du même jour, affichage d'une requête utilisateur demandant si l'étiquette d'événement faisant référence au premier événement est sélectionnée pour la valeur de mesure précédente ou pour la nouvelle valeur de mesure, et
    réception d'une entrée utilisateur d'une sélection correspondante.
  7. Procédé selon la revendication 6, dans lequel dans le cas où aucune entrée utilisateur n'est reçue, l'étiquette d'événement faisant référence au premier événement est associée à la valeur de mesure précédente ou à la nouvelle valeur de mesure selon une règle de sélection prédéfinie.
  8. Procédé selon l'une quelconque des revendications 5 à 7, comprenant en outre :
    la réception d'une entrée de données relative au paramètre physiologique, dans lequel l'entrée de données comprend au moins l'un des paramètres suivants :
    • l'occurrence ou le nombre d'événements hypoglycémiques après un instant prédéterminé, par exemple, une dernière utilisation du dispositif médical ou l'estampille temporelle de la dernière (précédente) valeur de mesure,
    • l'occurrence ou le nombre d'événements hyperglycémiques après un instant prédéterminé, par exemple, la dernière utilisation du dispositif médical ou l'estampille temporelle de la dernière (précédente) valeur de mesure,
    • la taille de la dose de médicament injectée après un instant prédéterminé, par exemple, la dernière utilisation du dispositif médical ou l'estampille temporelle de la dernière (précédente) valeur de mesure, de préférence, la dose de médicament injectée étant automatiquement sélectionnée comme étant la dose de la dernière (précédente) dose suggérée.
  9. Programme informatique permettant de faire fonctionner une unité de gestion de données d'un glucomètre (100) avec une mémoire de données (130) comprenant des plages temporelles associées pour une présélection d'étiquetage pour au moins deux événements de repas, dans lequel les plages temporelles associées pour une présélection d'étiquetage pour les au moins deux événements de repas peuvent se chevaucher, le programme informatique comprenant :
    • un code pour la réception d'une nouvelle valeur de mesure d'un paramètre physiologique, à savoir un taux de glucose dans le sang, en provenance d'une unité de mesure (110),
    • un code pour l'attribution d'une estampille temporelle associée à la nouvelle valeur de mesure, si une estampille temporelle associée n'existe pas encore avec la nouvelle valeur de mesure,
    • la réception de données de sélection contenant l'information selon laquelle l'utilisateur a sélectionné et/ou confirmé un parmi
    o un composant d'étiquette « avant le repas » et
    o un composant d'étiquette « après le repas »
    en ce qui concerne la nouvelle valeur de mesure,
    • un code pour la sélection automatique, sur la base des données de sélection et d'une comparaison de l'estampille temporelle de la nouvelle valeur de mesure avec les plages temporelles associées pour une présélection d'étiquetage des au moins deux événements de repas, d'une étiquette associée supplémentaire faisant référence à l'un des au moins deux événements de repas, dans lequel
    o le composant choisi parmi le composant d'étiquette « avant le repas » et le composant d'étiquette « après le repas » ne constitue qu'un premier composant d'une étiquette d'événement pour la nouvelle valeur de mesure, et
    ∘ l'étiquette associée supplémentaire sélectionnée automatiquement constitue un second composant de l'étiquette d'événement pour la nouvelle valeur de mesure,
    de telle sorte que l'étiquette d'événement sélectionnée pour la nouvelle valeur de mesure soit une étiquette composite,
    dans lequel les données de sélection sont utilisées pour faire la distinction entre et déterminer un de deux événements de repas associés identifiés par la comparaison avec des plages temporelles qui se chevauchent pour une présélection d'étiquetage.
EP14771567.6A 2013-09-20 2014-09-19 Unité de gestion de données et son procédé de fonctionnement Active EP3047413B1 (fr)

Priority Applications (1)

Application Number Priority Date Filing Date Title
EP14771567.6A EP3047413B1 (fr) 2013-09-20 2014-09-19 Unité de gestion de données et son procédé de fonctionnement

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
EP13185395.4A EP2851822A1 (fr) 2013-09-20 2013-09-20 Unité de gestion de données et son procédé de fonctionnement
EP14771567.6A EP3047413B1 (fr) 2013-09-20 2014-09-19 Unité de gestion de données et son procédé de fonctionnement
PCT/EP2014/070003 WO2015040165A1 (fr) 2013-09-20 2014-09-19 Unité de gestion de données et procédé exploitant celle-ci

Publications (3)

Publication Number Publication Date
EP3047413A1 EP3047413A1 (fr) 2016-07-27
EP3047413C0 EP3047413C0 (fr) 2023-08-09
EP3047413B1 true EP3047413B1 (fr) 2023-08-09

Family

ID=49231322

Family Applications (2)

Application Number Title Priority Date Filing Date
EP13185395.4A Ceased EP2851822A1 (fr) 2013-09-20 2013-09-20 Unité de gestion de données et son procédé de fonctionnement
EP14771567.6A Active EP3047413B1 (fr) 2013-09-20 2014-09-19 Unité de gestion de données et son procédé de fonctionnement

Family Applications Before (1)

Application Number Title Priority Date Filing Date
EP13185395.4A Ceased EP2851822A1 (fr) 2013-09-20 2013-09-20 Unité de gestion de données et son procédé de fonctionnement

Country Status (6)

Country Link
US (1) US10754926B2 (fr)
EP (2) EP2851822A1 (fr)
JP (1) JP6509232B2 (fr)
CN (1) CN105745655A (fr)
HK (1) HK1225467A1 (fr)
WO (1) WO2015040165A1 (fr)

Families Citing this family (7)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN106295136A (zh) * 2016-07-28 2017-01-04 沈阳东软医疗系统有限公司 一种信息处理方法和装置
EP4386533A3 (fr) * 2016-09-27 2024-08-07 Bigfoot Biomedical, Inc. Personnalisation de tailles de repas prédéfinies dans un système d'administration d'insuline
CN110168655B (zh) * 2016-12-13 2024-05-07 赛诺菲 用于支持健康控制的数据管理单元
US20200043586A1 (en) * 2016-12-23 2020-02-06 Sanofi-Aventis Deutschland Gmbh Data management unit for supporting health control
JP7196077B2 (ja) * 2016-12-23 2022-12-26 サノフィ－アベンティス・ドイチュラント・ゲゼルシャフト・ミット・ベシュレンクテル・ハフツング 健康管理を支えるためのデータ管理ユニット
CN109215784B (zh) * 2017-06-30 2022-11-18 华广生技股份有限公司 分析生理参数值的方法
CN110840430B (zh) * 2018-08-21 2022-09-13 北京万生人和科技有限公司 腹内压数据筛选方法、计算机可读存储介质、腹内压数据筛选装置

Family Cites Families (15)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CA2466772C (fr) 2002-09-11 2012-08-28 Becton, Dickinson And Company Appareil et methode permettant de surveiller la glycemie, comprenant notamment un affichage convivial de la moyenne des valeurs de glycemie et des valeurs constituantes
AU2006218595A1 (en) * 2005-03-02 2006-09-08 Spacelabs Medical Trending display of patient wellness
US20070254593A1 (en) * 2006-04-28 2007-11-01 Medtronic Minimed, Inc. Wireless data communication for a medical device network that supports a plurality of data communication modes
WO2008071218A1 (fr) 2006-12-14 2008-06-19 Egomedical Swiss Ag Dispositif de surveillance
US9597019B2 (en) 2007-02-09 2017-03-21 Lifescan, Inc. Method of ensuring date and time on a test meter is accurate
AU2009200129B2 (en) 2008-01-18 2015-06-25 Lifescan Scotland Limited Analyte testing method and system
EP2260423B1 (fr) * 2008-04-04 2018-02-28 Hygieia, Inc. Appareil pour optimiser un régime posologique d'insuline d'un patient
EP3315958B1 (fr) 2008-11-04 2021-09-15 PHC Holdings Corporation Dispositif de mesure
JP5677322B2 (ja) * 2009-02-04 2015-02-25 サノフィ−アベンティス・ドイチュラント・ゲゼルシャフト・ミット・ベシュレンクテル・ハフツング 血糖コントロールのための情報を提供するための医療システム及び方法
FI20095791A0 (fi) * 2009-07-15 2009-07-15 Ihq Medical Inc Menetelmä ja järjestely mittauksen kontrolloimiseksi
US8707392B2 (en) * 2010-10-15 2014-04-22 Roche Diagnostics Operations, Inc. Systems and methods for disease management
US20120173151A1 (en) * 2010-12-29 2012-07-05 Roche Diagnostics Operations, Inc. Methods of assessing diabetes treatment protocols based on protocol complexity levels and patient proficiency levels
US10010273B2 (en) * 2011-03-10 2018-07-03 Abbott Diabetes Care, Inc. Multi-function analyte monitor device and methods of use
JP5930823B2 (ja) * 2011-06-17 2016-06-08 アークレイ株式会社 測定装置
US9826925B2 (en) * 2012-11-29 2017-11-28 Lifescan, Inc. Analyte meter with basic and advanced meter preset mode selection based on structured queries

Also Published As

Publication number Publication date
US20160239628A1 (en) 2016-08-18
EP2851822A1 (fr) 2015-03-25
JP2016540229A (ja) 2016-12-22
EP3047413C0 (fr) 2023-08-09
JP6509232B2 (ja) 2019-05-08
CN105745655A (zh) 2016-07-06
EP3047413A1 (fr) 2016-07-27
US10754926B2 (en) 2020-08-25
HK1225467A1 (zh) 2017-09-08
WO2015040165A1 (fr) 2015-03-26

Similar Documents

Publication Publication Date Title
EP3047413B1 (fr) Unité de gestion de données et son procédé de fonctionnement
US10733154B2 (en) Management method and system for implementation, execution, data collection, and data analysis of a structured collection procedure which runs on a collection device
US10663452B2 (en) Data management unit for supporting health control
EP3047412B1 (fr) Dispositif médical et procédé de fonctionnement de celui-ci
EP2710502B1 (fr) Recueillement de données dynamique
EP3167389B1 (fr) Titrage de l'insuline basale avec deux modes
US20120088989A1 (en) Management Method And System For Implementation, Execution, Data Collection, and Data Analysis of A Structured Collection Procedure Which Runs On A Collection Device
US20160210430A1 (en) Data management unit for supporting health control
EP3555779B1 (fr) Unité de gestion de données pour prendre en charge le contrôle sanitaire
TW201526875A (zh) 醫療裝置及其操作方法

Legal Events

Date Code Title Description
PUAI Public reference made under article 153(3) epc to a published international application that has entered the european phase

Free format text: ORIGINAL CODE: 0009012

17P Request for examination filed

Effective date: 20160418

AK Designated contracting states

Kind code of ref document: A1

Designated state(s): AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR

AX Request for extension of the european patent

Extension state: BA ME

RIN1 Information on inventor provided before grant (corrected)

Inventor name: TUBB, ANDREW

REG Reference to a national code

Ref country code: HK

Ref legal event code: DE

Ref document number: 1225467

Country of ref document: HK

STAA Information on the status of an ep patent application or granted ep patent

Free format text: STATUS: EXAMINATION IS IN PROGRESS

17Q First examination report despatched

Effective date: 20190503

STAA Information on the status of an ep patent application or granted ep patent

Free format text: STATUS: EXAMINATION IS IN PROGRESS

REG Reference to a national code

Ref country code: DE

Ref legal event code: R079

Ref document number: 602014087905

Country of ref document: DE

Free format text: PREVIOUS MAIN CLASS: G06F0019000000

Ipc: G16H0040630000

Ref country code: DE

Ref legal event code: R079

Free format text: PREVIOUS MAIN CLASS: G06F0019000000

Ipc: G16H0040630000

GRAP Despatch of communication of intention to grant a patent

Free format text: ORIGINAL CODE: EPIDOSNIGR1

STAA Information on the status of an ep patent application or granted ep patent

Free format text: STATUS: GRANT OF PATENT IS INTENDED

RIC1 Information provided on ipc code assigned before grant

Ipc: G16H 20/17 20180101ALI20230227BHEP

Ipc: G16H 10/60 20180101ALI20230227BHEP

Ipc: G16H 50/20 20180101ALI20230227BHEP

Ipc: G16H 40/63 20180101AFI20230227BHEP

INTG Intention to grant announced

Effective date: 20230317

GRAS Grant fee paid

Free format text: ORIGINAL CODE: EPIDOSNIGR3

GRAA (expected) grant

Free format text: ORIGINAL CODE: 0009210

STAA Information on the status of an ep patent application or granted ep patent

Free format text: STATUS: THE PATENT HAS BEEN GRANTED

AK Designated contracting states

Kind code of ref document: B1

Designated state(s): AL AT BE BG CH CY CZ DE DK EE ES FI FR GB GR HR HU IE IS IT LI LT LU LV MC MK MT NL NO PL PT RO RS SE SI SK SM TR

REG Reference to a national code

Ref country code: GB

Ref legal event code: FG4D

REG Reference to a national code

Ref country code: CH

Ref legal event code: EP

REG Reference to a national code

Ref country code: IE

Ref legal event code: FG4D

REG Reference to a national code

Ref country code: DE

Ref legal event code: R096

Ref document number: 602014087905

Country of ref document: DE

U01 Request for unitary effect filed

Effective date: 20230816

U07 Unitary effect registered

Designated state(s): AT BE BG DE DK EE FI FR IT LT LU LV MT NL PT SE SI

Effective date: 20230822

U20 Renewal fee paid [unitary effect]

Year of fee payment: 10

Effective date: 20230905

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: GR

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20231110

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: IS

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20231209

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: RS

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20230809

Ref country code: NO

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20231109

Ref country code: IS

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20231209

Ref country code: HR

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20230809

Ref country code: GR

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20231110

PGFP Annual fee paid to national office [announced via postgrant information from national office to epo]

Ref country code: CH

Payment date: 20231001

Year of fee payment: 10

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: PL

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20230809

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: ES

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20230809

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: SM

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20230809

Ref country code: RO

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20230809

Ref country code: ES

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20230809

Ref country code: CZ

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20230809

Ref country code: SK

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20230809

REG Reference to a national code

Ref country code: DE

Ref legal event code: R097

Ref document number: 602014087905

Country of ref document: DE

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: MC

Free format text: LAPSE BECAUSE OF FAILURE TO SUBMIT A TRANSLATION OF THE DESCRIPTION OR TO PAY THE FEE WITHIN THE PRESCRIBED TIME-LIMIT

Effective date: 20230809

PLBE No opposition filed within time limit

Free format text: ORIGINAL CODE: 0009261

STAA Information on the status of an ep patent application or granted ep patent

Free format text: STATUS: NO OPPOSITION FILED WITHIN TIME LIMIT

REG Reference to a national code

Ref country code: IE

Ref legal event code: MM4A

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: IE

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20230919

26N No opposition filed

Effective date: 20240513

PG25 Lapsed in a contracting state [announced via postgrant information from national office to epo]

Ref country code: IE

Free format text: LAPSE BECAUSE OF NON-PAYMENT OF DUE FEES

Effective date: 20230919

U20 Renewal fee paid [unitary effect]

Year of fee payment: 11

Effective date: 20240807

PGFP Annual fee paid to national office [announced via postgrant information from national office to epo]

Ref country code: GB

Payment date: 20240701

Year of fee payment: 11